Exploring the beliefs underpinning drivers’ intentions to comply with speed limits

Elliott, Mark A.; Armitage, Christopher J.; Baughan, C J

doi:10.1016/j.trf.2005.08.002

Cited by 111 publications

(89 citation statements)

References 33 publications

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“…TPB has been used successfully to predict behaviour in a wide variety of applied research settings within different domains, including several studies dealing with driving behaviour and traffic safety, such as the effects of drinking and driving (Aberg, 1993;Parker et al, 1992a), driving violations (Parker et al, 1992b), and speeding and speed behaviour (Elliot et al, 2005;. Warner and (Davis et al, 1989).…”

Section: User Acceptance Models and Theoriesmentioning

confidence: 99%

Towards defining a unified concept for the acceptability of Intelligent Transport Systems (ITS): A conceptual analysis based on the case of Intelligent Speed Adaptation (ISA)

Vlassenroot

Brookhuis

Marchau

et al. 2010

Transportation Research Part F: Traffic Psychology and Behaviou

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Section: User Acceptance Models and Theoriesmentioning

confidence: 99%

Towards defining a unified concept for the acceptability of Intelligent Transport Systems (ITS): A conceptual analysis based on the case of Intelligent Speed Adaptation (ISA)

Vlassenroot

Brookhuis

Marchau

et al. 2010

Transportation Research Part F: Traffic Psychology and Behaviou

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“…Figure 1 below shows how driving data were extracted from a trip and categorized into free-flow and speeding time. Personality and attitudinal data were also obtained; specifically, all participants completed the Driver Behavior Questionnaire (DBQ; modified from Reason et al, 1990), Theory of Planned Behavior (TPB) survey measuring driver attitudes, beliefs, and intentions regarding speeding (from Elliott et al, 2005), and a Risky Driving Questionnaire (DeJoy, 1992).…”

Section: Methodsmentioning

confidence: 99%

“…The four factors relevant to the "Seattle 55-60 mph" analyses are described in Table 5 below. These factors were primarily based on questions from either the DBQ (Bad Driving factor; Reason et al, 1990), or speeding questions from the Theory of Planned Behavior survey (other 3 factors; Elliott et al, 2005). Table 5.…”

Section: Model Situational Demographic and Personality/attitudinal mentioning

confidence: 99%

Not So Fast! An Investigation of Real-World Speeding Behaviors and Underlying Attitudes

Campbell

Richard

Atkins

et al. 2013

Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary: Although speeding is a major contributor to traffic fatalities, attempts to address this problem have not led to significant reductions in speed-related crashes. In this paper, we describe an investigation of speeding behaviors that was intended to: (1) identify which drivers speed, (2) model the relative roles of situational, demographic, and personality factors in predicting travel speeds, and (3) classify drivers based on their speeding patterns. The speeding behaviors of 88 drivers were recorded over the course of approximately four weeks of naturalistic driving in Seattle WA. Data collected included 1-Hz recordings of vehicle position and speed using a GPS receiver, and responses to survey questions. Regression models were developed to identify predictors of 1) "any" speeding and 2) amount of speeding. Significant predictors included demographic variables such as age and gender, situational factors such as time-of-day and day-of-week, and key personality factors such as attitudes towards reckless driving.DISCLAIMER: The opinions, findings, and conclusions expressed in this publication are those of the authors and not necessarily those of the Department of Transportation or the National Highway Traffic Safety Administration.

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“…The results may have difference in the significant factor and may vary depending on the area or vehicle type of study, for example, previous studies in Sweden and Turkey found that PBC was most significant factor and highly influential for drivers' speeding intentions (Warner & Åberg, 2008;Warner et al, 2009), but other previous studies in France and Japan found that the most significant factors were AT (Cristea et al, 2013;Dinh & Kubota, 2013). Previous studies of motorcycle riders in Scotland and Taiwan found that AT was most significant factor and highly influential for riders (Elliott, 2010;Elliott et al, 2005). These results could help to understand speed intentions that are important for determining speed control measures or road safety policy.…”

Section: Psychological Factors Influencing Speeding Intentions Of Carmentioning

confidence: 97%

“…many studies concerning speeding intentions have been conducted under the framework of TPB (Gauld et al, 2014;Chen & Chen, 2011;Cristea et al, 2013;Dinh & Kubota, 2013;Elliott, 2010;Leandro, 2012;Elliott et al, 2005;Warner & Åberg, 2006;Warner & Åberg, 2008;Warner et al, 2009). However, previous studies focused on speeding intentions in developed countries.…”

Section: Psychological Factors Influencing Speeding Intentions Of Carmentioning

confidence: 99%

Psychological Factors Influencing Speeding Intentions of Car Drivers and Motorcycle Riders in Urban Road Environments

Tankasem¹,

Satiennam²,

Satiennam³

2016

IJTech

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The aim of this study was to examine and compare psychological factors influencing car drivers' and motorcycle riders' speeding intentions (IN), using the Theory of Planned Behaviour (TPB). The psychological factors modules included Attitude (AT), Subjective Norm (SN) and Perceived Behavioural Control (PBC). These were employed to explain speeding intentions in urban road environments. A sample of 188 car drivers and 174 motorcycle riders were collected from the two universities within Khon Kaen, Thailand. The Structural Equation Model (SEM) was used to examine and explain speeding intentions. The results indicated that the TPB could explain 33% and 41% of the variance of intentions by car drivers and motorcycle riders, respectively. The most significant psychological factor for car drivers was determined by attitude (AT), while the speeding intention of motorcycle riders was attributed to perceived behavioural control (PBC). The authorities in Khon Kaen Province should determine safety policies that can improve these psychological factors, which could have various effects or outcomes on changing car drivers' and motorcycle riders' speeding intentions. The outcome of this study could help to understand car drivers' and motorcycle riders' speeding intentions in urban road environments and it could be useful for development of safety measures.

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Exploring the beliefs underpinning drivers’ intentions to comply with speed limits

Cited by 111 publications

References 33 publications

Towards defining a unified concept for the acceptability of Intelligent Transport Systems (ITS): A conceptual analysis based on the case of Intelligent Speed Adaptation (ISA)

Towards defining a unified concept for the acceptability of Intelligent Transport Systems (ITS): A conceptual analysis based on the case of Intelligent Speed Adaptation (ISA)

Not So Fast! An Investigation of Real-World Speeding Behaviors and Underlying Attitudes

Psychological Factors Influencing Speeding Intentions of Car Drivers and Motorcycle Riders in Urban Road Environments

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